Linear Search vs Binary Search

Linear search examines each element one by one until the target is located or the collection is exhausted. It requires no preprocessing and works on unsorted data, but its average and worst-case time complexity is O(n), which makes it inefficient for large datasets.

Binary search, on the other hand, narrows the search space by repeatedly comparing the target with the middle element, achieving O(log n) time complexity. This efficiency comes at the cost of requiring the data to be sorted and stored in an indexable structure, such as an array.

As a result, linear search is appropriate for small or unsorted collections, whereas binary search is the better choice for large, sorted datasets where performance is a priority.

#computerscience #python #javascript #programming